Responsibilities
- Define and execute the AI technology roadmap, aligning with business goals and regulatory requirements. Lead thought leadership initiatives to position RBC as an innovator in financial technology.
- Design and oversee the development of enterprise-grade AI/ML systems, emphasizing scalability, security, and compliance. Focus on Generative AI, NLP, and blockchain applications.
- Collaborate with senior leaders, data scientists, engineers, and business units to translate complex challenges into actionable AI strategies. Mentor junior team members and foster a culture of innovation.
- Lead feasibility studies, proof-of-concepts, and R&D efforts for emerging technologies. Evaluate and integrate cutting-edge tools, frameworks, and cloud-native solutions (AWS/GCP/Azure).
- Ensure robust deployment and optimization of AI pipelines, balancing technical rigor with business impact. Champion MLOps and DevOps best practices.
- Communicate technical visions and project outcomes to C-suite executives, clients, and regulators. Represent RBC at industry conferences and forums.
- Proactively address ethical AI, data governance, and regulatory considerations in financial services.
Requirements
- Significant related experience in AI/ML engineering, including leadership or architectural roles, with a proven track record of delivering production-scale AI solutions, ideally within finance or related industries.
- Deep expertise in Generative AI (e.g., LLMs, diffusion models), NLP, and computer vision.
- Proficiency in Python and experience with C/C++ or Java. Hands-on with frameworks like TensorFlow, PyTorch, or Hugging Face.
- Blockchain knowledge (e.g., smart contracts, decentralized finance) and cloud-native AI deployment (Kubernetes, serverless).
- Ability to align technical innovation with business outcomes and regulatory constraints. Experience influencing organizational strategy.
- Demonstrated ability to lead diverse teams, mentor talent, and drive cultural change.
- Strong understanding of capital markets, risk management, and financial regulations (e.g., MiFID II, Dodd-Frank).
Nice to Have
- Advanced degree (MS/PhD) in Computer Science, AI, or a quantitative field.
- AWS/GCP/Azure AI certifications, CFA, or FRM.
Benefits
- A comprehensive Total Rewards Program include competitive compensation and flexible benefits, such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and paid-time off.
- Leaders who support your development through coaching and managing opportunities.
- Ability to make a difference and lasting impact.
- Work in a dynamic, collaborative, progressive, and high-performing team.
- Opportunities to do challenging work.
- Opportunities to build close relationships with clients.
Additional Information
- Work hours/week: 40
